Evidence map›Paper›PMID 42817356›Full record

ArticleSensors (Basel, Switzerland)2026

Estimation of Respiratory Volumes During Tidal Breathing Using Two Depth Cameras.

Adam Handley, Stephen Preece, Phil Tresadern

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Adam HandleySchool of Health and Society, University of Salford, Salford M6 6PU, UK.ORCID 0000-0001-9829-6468
Stephen PreeceSchool of Health and Society, University of Salford, Salford M6 6PU, UK.
Phil TresadernVisionomy, Salford M30 9HS, UK.ORCID 0009-0009-5262-9912

Funding

Engineering and Physical Sciences Research Council EP/W003600/1
6 · The paper itself

Abstract

Recent advances in depth camera technology enable precise quantification of shape changes of the human torso during breathing and therefore predict respiratory volumes. The aim of this study was to investigate the potential of estimating tidal volumes during relaxed breathing from two depth cameras. Data were analysed from 21 healthy participants. For each participant, a set of 30 physical markers were placed across the torso and tracked using two depth cameras. Marker positions were mapped to 3D coordinates and used as inputs for a volume algorithm that estimated respiratory volumes. A breath-by-breath analysis was then conducted to compare estimated volumes with spirometry measurements. The camera-derived volumes were strongly correlated with spirometry (marginal R

Indexed as

RespirationTidal VolumeAdultAlgorithmsFemaleHumansMaleSpirometrydepth cameranon-contact respiratory monitoringoptoelectronic plethysmographyrespiratory diagnosticsRGB-D camerasspirometry

Identifiers

PMID42817356
PMCPMC13611248

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.